Back to directory

Tambo AI

An open-source React toolkit for building agents that render generative UI: components are registered with schemas, and an agent chooses and streams the right one as it responds to a request.

Tambo AI

Tambo AI is an open-source toolkit for building agents that render user interfaces, known as generative UI, in React applications. A developer registers existing React components together with Zod schemas; the agent then picks the right component for a request and streams its props to it as the model generates them, so an interface updates live instead of only returning text.

Tambo includes an LLM conversation loop, so a project supplies its own API key for OpenAI, Anthropic, Gemini, Mistral or any OpenAI-compatible provider, and can optionally use agent frameworks such as LangChain or Mastra on top. Streaming, cancellation, error recovery and reconnection for the props stream are handled for the developer. The backend that manages conversation state and agent execution can run as a hosted cloud service or be self-hosted with Docker on a project's own infrastructure.

It ships with a pre-built component library of generative UI primitives and starter templates, including a chat interface and an analytics dashboard, and is written in TypeScript under the MIT license.

More in Agent frameworks

See all 902
  • Recurse

    recurse.run

    A serverless harness that lets a coding agent design, test, and deploy its own specialist sub-agents as tools, MCP servers, or bots, defined by a schema-validated manifest.

  • ProofForge

    shulgin.is-a.dev

    An AI-agent pipeline that decomposes a mathematics problem, proves each piece, and formalizes the result in Lean 4 and Mathlib until the Lean kernel accepts it, with six of its proofs already merged into Google DeepMind's formal-conjectures repository.

  • local-coder

    github.com

    Builds a local coding-agent team on top of Ollama and OpenCode by detecting the machine's hardware, recommending models for seven specialist roles, and testing whether each assigned model can actually use tools, edit a repository and pass verification.